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Data · dataset · 2022

orion-ai-lab/S4A

Listed in Hugging Face Datasets

Sen4AgriNet is a Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning.

Description

It is annotated from farmer declarations collected via the Land Parcel Identification System (LPIS) for harmonizing country wide labels. These declarations have only recently been made available as open data, allowing for the first time the labelling of satellite imagery from ground truth data.

We proceed to propose and standardise a new crop type taxonomy across Europe that address Common Agriculture Policy (CAP) needs, based on the Food and Agriculture Organization (FAO) Indicative Crop Classification scheme. Sen4AgriNet is the only multi-country, multi-year dataset that includes all spectral information. It is constructed to cover the period 2016-2020 for Catalonia and France, while it can be extended to include additional countries.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
Machine learning 70% · Satellite remote sensing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsorion-ai-lab/S4A12 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4611enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
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publication_datesource · Hugging Faceconnector:huggingface@1.0.0
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updated_datesource · Hugging Faceconnector:huggingface@1.0.0